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Received signal strength indication-based localisation method with unknown path-loss exponent for HVDC electric field measurement
- Source :
- High Voltage (2017)
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- The electric field environment under high-voltage direct current (HVDC) transmission lines is an important design consideration. In the wireless sensor networks for electric field measurement system under the HVDC transmission lines, it is necessary to obtain the electric field distribution with multiple sensors. The accurate localisation of sensing nodes is essential to the analysis of measurement results. However, most current techniques are limited to constant measurement environment with fixed and known path-loss exponent. Here, the authors report a localisation method based on received signal strength indication with unknown path-loss exponent for the localisation of one-dimensional linear topology wireless networks in the electric field measurement system. The optimisation method is utilised to obtain the optimal pass-loss parameter without involving the previous environment parameters. Afterwards, simulations are employed to demonstrate the feasibility and the effectiveness of the proposed method by comparing with other methods.
- Subjects :
- RSSI
sensor placement
HVDC power transmission
network topology
electric field measurement
optimisation
power system measurement
received signal strength indication
localisation method
unknown path-loss exponent
HVDC electric field measurement
electric field environment
high-voltage direct current transmission lines
wireless sensor networks
electric field distribution
multiple sensors
sensing nodes localisation
one-dimensional linear topology wireless networks
electric field measurement system
optimisation method
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Electricity
QC501-721
Subjects
Details
- Language :
- English
- ISSN :
- 23977264
- Database :
- Directory of Open Access Journals
- Journal :
- High Voltage
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b02a8bd4d4a42ee98c1b0730db79e66
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/hve.2017.0085